Publications Database

Welcome to the new Schulich Peer-Reviewed Publication Database!

The database is currently in beta-testing and will be updated with more features as time goes on. In the meantime, stakeholders are free to explore our faculty’s numerous works. The left-hand panel affords the ability to search by the following:

  • Faculty Member’s Name;
  • Area of Expertise;
  • Whether the Publication is Open-Access (free for public download);
  • Journal Name; and
  • Date Range.

At present, the database covers publications from 2012 to 2020, but will extend further back in the future. In addition to listing publications, the database includes two types of impact metrics: Altmetrics and Plum. The database will be updated annually with most recent publications from our faculty.

If you have any questions or input, please don’t hesitate to get in touch.


Search Results

Packard, G. and Berger, J. (2024). "The Emergence and Evolution of Consumer Language Research", Journal of Consumer Research, 50(1).

Open Access Download

Abstract Over the last 50+ years, there has been a huge rise in interest in consumer language research. This manuscript spotlights the emergence and evolution of this area, identifying key themes and trends, and highlighting topics for future research. Work has evolved from exploration of broad language concepts (e.g., rhetorics) to specific linguistic features (e.g., phonemes) and from monologues (e.g., advertiser to consumer) to two-way dialogues (e.g., consumer to service representative and back). We discuss future opportunities that arise from past trends, and suggest two important shifts that prompt questions for future research: a new shift towards using voice (vs. hands) when interacting with objects, and the ongoing shift towards using hands (vs. voices) to communicate with people. By synthesizing the past, and delineating a research agenda for the future, we hope to encourage more researchers to begin to explore this burgeoning area.

Boghrati, R., Berger, J., and Packard, G. (2023). "Style, Content, and the Success of Ideas", Journal of Consumer Psychology.

Open Access Download

Abstract Why do some things succeed in the marketplace of ideas? While some argue that content drives success, others suggest that style, or the way ideas are presented, also plays an important role. To provide a stringent test of style’s importance, we examine it in a context where content should be paramount: academic research. While scientists often see writing as a disinterested way to communicate unobstructed truth, a multi-method investigation indicates that writing style shapes impact. Separating style from content can be difficult as papers that tend to use certain language may also write about certain topics. Consequently, we focus on a unique class of words linked to style (i.e., function words such as “and,” “the,” and “on”) that are completely devoid of content. Natural language processing of almost 30,000 articles from a range of disciplines finds that function words explain 13–27% of language’s impact on citations. Ancillary analyses explore specific categories of function words to suggest how style matters, highlighting the role of writing simplicity, personal voice, and temporal perspective. Experiments further underscore the causal impact of style. The results suggest how to boost communication’s impact and highlight the value of natural language processing for understanding the success of ideas.

Berger, J., Packard, G., Boghrati, R., Hsu, M., Humphreys, A., Moore, S., Nave, G., Olivola, C., and Rocklage, M. D. (2022). "Marketing Insights from Text", Marketing Letters, 33, 365-377.

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Abstract Language is an integral part of marketing. Consumers share word of mouth, salespeople pitch services, and advertisements try to persuade. Further, small differences in wording can have a big impact. But while it is clear that language is both frequent and important, how can we extract insight from this new form of data? This paper provides an introduction to the main approaches to automated textual analysis and how researchers can use them to extract marketing insight. We provide a brief summary of dictionaries, topic modeling, and embeddings, some examples of how each approach can be used, and some advantages and limitations inherent to each method. Further, we outline how these approaches can be used both in empirical analysis of field data as well as experiments. Finally, an appendix provides links to relevant tools and readings to help interested readers learn more. By introducing more researchers to these valuable and accessible tools, we hope to encourage their adoption in a wide variety of areas of research.